Core Viewpoint - AI technology has transitioned from the laboratory to the industry, becoming a core driver of transformation across various sectors, yet companies face challenges in realizing returns on investment, converting data into value, and scaling applications [1][3] Summary by Sections Industry Pain Points - Companies are grappling with three main challenges in their intelligent transformation: ensuring measurable returns on AI investments, converting proprietary data into competitive advantages, and scaling AI applications from experimental stages to core business support [3][4] Practical Examples - In the electricity sector, the Southern Power Grid utilized Huawei's Ascend computing platform and MindSpore AI framework to develop the "Big Watt" industry model, enhancing defect identification efficiency by five times and achieving over 90% accuracy in image recognition [4] - In healthcare, Huawei supported a partner in developing an AI medical record integration machine that generates records in as little as one second, significantly reducing consultation time and improving record quality [5] Key Discoveries for Industry Intelligence - Five key findings were identified for promoting industry intelligence: the importance of selecting relevant scenarios, the necessity of high-quality vertical data, the rapid scaling of AI agents, the emergence of human-machine collaboration as a new organizational paradigm, and the need for systematic governance and risk management [6] ACT Three-Step Pathway - The "ACT three-step" implementation methodology proposed by Huawei includes assessing high-value scenarios, calibrating AI models using vertical data, and scaling AI agents to transform business operations [7][8] - The assessment framework evaluates scenarios based on commercial value, maturity, and integration of business and technology, having successfully implemented over 1,000 AI core production scenarios [7] Infrastructure Support - Huawei emphasizes that AI-oriented ICT infrastructure is essential for supporting the ACT pathway, providing integrated products across data storage, computing, and networking [9] Ecosystem and Solutions - Huawei advocates for an open and cooperative approach to industry intelligence, recognizing that no single company can cover all areas, thus forming a robust ecosystem with over 6,300 partners [10][11] - The release of nine industry-specific intelligent solutions addresses core pain points across various sectors, such as steel temperature prediction and oil and gas exploration, providing replicable and customizable templates for enterprises [11] Shift from Technology-Driven to Value-Driven - The information conveyed by Huawei reflects a deep consideration of the logic behind industry intelligence, emphasizing a shift from technology-driven to value-driven approaches, focusing on high-value scenarios and vertical data [13]

Core Insights - The article discusses how Huawei is addressing the challenge of implementing AI in business to create real commercial value, emphasizing the need for a structured approach to AI integration in various industries [2][5][12]. Group 1: Huawei's Approach to AI Implementation - Huawei has developed a "three-step" path for enterprises to transform their operations through AI, which includes assessing high-value scenarios, calibrating models with vertical industry data, and scaling AI agents to reshape key business processes [8][9]. - The company has released nine industry-specific solutions covering sectors such as government, education, healthcare, finance, and manufacturing, establishing a replicable standard for industry transformation [4][5]. Group 2: Key Findings on Intelligent Transformation - Five critical findings were shared regarding intelligent transformation: the importance of scenario selection, the necessity of high-quality domain data for model capability, the rapid scaling of AI agents, the emergence of human-machine collaboration as a new organizational paradigm, and the need for systematic governance and risk management [5][6][12]. - The emphasis on scenario selection highlights that technology must serve the essence of business rather than merely adding superficial enhancements [6][12]. Group 3: AI as a Growth Engine - AI is positioned as a key engine for business growth, integral to the entire value chain from research and development to production and service [12][16]. - Huawei's AI capabilities have been validated through extensive applications in its own operations, providing valuable industry know-how and a comprehensive end-to-end solution from foundational computing to industry applications [13][15]. Group 4: Role of Partnerships - Huawei's extensive partner ecosystem, comprising over 6,300 Kunpeng partners and 2,700 Ascend partners, plays a crucial role in translating generic AI technologies into customized solutions that address specific industry needs [15][16]. - The collaboration with partners is essential for bridging the gap between technology and business value, ensuring that AI solutions are effectively tailored to meet the unique challenges of different sectors [15].

Core Viewpoint - The article discusses how Huawei aims to help enterprises effectively implement AI as a core driver of business innovation through a structured approach, addressing the gap between technology supply and business value [3][8]. Group 1: Huawei's AI Implementation Strategy - Huawei has developed a "three-step" approach to guide enterprises in their AI transformation: assessing high-value scenarios, calibrating models with vertical industry data, and scaling AI agents to reshape key business processes [13][15]. - The company emphasizes the importance of selecting the right business scenarios for AI integration, as the value of AI lies in its deep integration with core production processes [9][10]. - Huawei's experience has led to the creation of nine industry-specific solutions across sectors such as government, education, healthcare, finance, and manufacturing, establishing a replicable industry standard [5][6]. Group 2: Key Findings on Intelligent Transformation - Five critical insights were shared regarding intelligent transformation: the significance of scenario selection, the quality of domain-specific data, the rapid scaling of AI agents, the emergence of human-machine collaboration, and the necessity of systematic governance and risk management [9][10]. - The article highlights that generic models are insufficient for industry-specific applications; enterprises must leverage high-quality data to train and fine-tune models for competitive differentiation [9][10]. Group 3: Huawei's Competitive Advantage - Huawei's extensive experience in digital transformation and its comprehensive end-to-end solutions in AI, from foundational computing to industry applications, position it as a preferred partner for enterprises [21][22]. - The company has established a robust ecosystem with over 6,300 partners, enabling it to translate generic AI technologies into customized solutions that address specific industry needs [24][25]. - Huawei's approach focuses on creating a sustainable ecosystem that fosters innovation and collaboration, ensuring that AI technologies benefit both industries and society as a whole [25][26].